Jey Han Lau
Jey Han Lau
Computing and Information Systems, The University of Melbourne
Geverifieerd e-mailadres voor unimelb.edu.au - Homepage
Geciteerd door
Geciteerd door
Automatic evaluation of topic coherence
D Newman, JH Lau, K Grieser, T Baldwin
Human language technologies: The 2010 annual conference of the North …, 2010
An empirical evaluation of doc2vec with practical insights into document embedding generation
JH Lau, T Baldwin
arXiv preprint arXiv:1607.05368, 2016
Machine reading tea leaves: Automatically evaluating topic coherence and topic model quality
JH Lau, D Newman, T Baldwin
Proceedings of the 14th Conference of the European Chapter of the …, 2014
Automatic labelling of topic models
JH Lau, K Grieser, D Newman, T Baldwin
Proceedings of the 49th annual meeting of the association for computational …, 2011
On-line trend analysis with topic models:# twitter trends detection topic model online
JH Lau, N Collier, T Baldwin
Proceedings of COLING 2012, 1519-1534, 2012
Grammaticality, acceptability, and probability: A probabilistic view of linguistic knowledge
JH Lau, A Clark, S Lappin
Cognitive science 41 (5), 1202-1241, 2017
Word sense induction for novel sense detection
JH Lau, P Cook, D McCarthy, D Newman, T Baldwin
Proceedings of the 13th Conference of the European Chapter of the …, 2012
IndoLEM and IndoBERT: A benchmark dataset and pre-trained language model for Indonesian NLP
F Koto, A Rahimi, JH Lau, T Baldwin
arXiv preprint arXiv:2011.00677, 2020
Automatic detection and language identification of multilingual documents
M Lui, JH Lau, T Baldwin
Transactions of the Association for Computational Linguistics 2, 27-40, 2014
Best topic word selection for topic labelling
JH Lau, D Newman, S Karimi, T Baldwin
Coling 2010: Posters, 605-613, 2010
Automatic labelling of topics with neural embeddings
S Bhatia, JH Lau, T Baldwin
arXiv preprint arXiv:1612.05340, 2016
On collocations and topic models
JH Lau, T Baldwin, D Newman
ACM Transactions on Speech and Language Processing (TSLP) 10 (3), 1-14, 2013
Topically driven neural language model
JH Lau, T Baldwin, T Cohn
arXiv preprint arXiv:1704.08012, 2017
Deep-speare: A joint neural model of poetic language, meter and rhyme
JH Lau, T Cohn, T Baldwin, J Brooke, A Hammond
arXiv preprint arXiv:1807.03491, 2018
Early rumour detection
K Zhou, C Shu, B Li, JH Lau
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Detecting duplicate posts in programming QA communities via latent semantics and association rules
WE Zhang, QZ Sheng, JH Lau, E Abebe
Proceedings of the 26th International Conference on World Wide Web, 1221-1229, 2017
Bayesian text segmentation for index term identification and keyphrase extraction
D Newman, N Koilada, JH Lau, T Baldwin
Proceedings of COLING 2012, 2077-2092, 2012
The sensitivity of topic coherence evaluation to topic cardinality
JH Lau, T Baldwin
Proceedings of the 2016 conference of the North American chapter of the …, 2016
Learning word sense distributions, detecting unattested senses and identifying novel senses using topic models
JH Lau, P Cook, D McCarthy, S Gella, T Baldwin
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
Novel word-sense identification
P Cook, JH Lau, D McCarthy, T Baldwin
Proceedings of COLING 2014, the 25th International Conference on …, 2014
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